Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add JeanDiable/academic-research-plugin --skill idea-to-proposalgit clone --depth 1 https://github.com/JeanDiable/academic-research-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jeandiable/academic-research-plugin/idea-to-proposal)<a href="https://agentmods.dev/skills/jeandiable/academic-research-plugin/idea-to-proposal"><img src="https://agentmods.dev/badge/skills/jeandiable/academic-research-plugin/idea-to-proposal/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jeandiable/academic-research-plugin/idea-to-proposal"><img src="https://agentmods.dev/badge/skills/jeandiable/academic-research-plugin/idea-to-proposal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00158 | $0.04607 |
| Opus 5 | $0.00079 | $0.02303 |
| Sonnet 5 | $0.00032 | $0.00921 |
| Haiku 4.5 | $0.00016 | $0.00461 |
Grade A, and why
idea-to-proposal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea-to-Proposal Skill
Overview
This skill takes a raw research idea through a rigorous multi-phase pipeline:
- Idea Structuring — Parse any input format into a structured research brief
- Literature Search + 8-Dimension Evaluation — Parallel agents search literature and score the idea
- Autonomous Refinement Loop — Iteratively improve weak dimensions until all meet threshold
- Human Review Gate — Present scores and refined idea for user approval
- Proposal Generation — Parallel agents write method design and experiment plan
The output is a publication-quality research proposal suitable for a top-tier AI conference, saved to the user's Obsidian vault.
Setup
Before running the skill, install dependencies:
pip install -r "BASE_DIR/scripts/requirements.txt"
Required packages:
arxiv— arXiv API accessrequests— HTTP requests for paper fetchingbibtexparser— BibTeX parsing and generationsemanticscholar— Semantic Scholar API integration
Parameters
Parse the following from $ARGUMENTS:
| Parameter | Default | Description |
|---|---|---|
--target-venue |
none (general) | Conference/journal: NeurIPS, ICML, CVPR, ACL, AAAI, ICCV, ICLR |
--threshold |
7 | Minimum score (1-10) across all 8 dimensions to pass |
--max-rounds |
3 | Maximum autonomous refinement rounds before human gate |
--domain |
auto-detect | Research domain for literature search focus |
Everything else in $ARGUMENTS is the idea input (text, file path, or URL).
Output Directory
~/Library/Mobile Documents/iCloud~md~obsidian/Documents/My_note/10_Projects/Idea-Proposals/YYYY-MM-DD-<topic>/
├── idea-evolution.md # Version history through refinement rounds
├── evaluation-report.md # Final scores + per-dimension analysis
├── proposal.md # The full research proposal
├── references.bib # All collected BibTeX citations
├── experiment-benchmarks.md # Detailed benchmark/baseline survey
└── figures/ # Mermaid diagrams
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 503 lines · 158 tokens per session scan A 6f6df374acc1
idea-to-proposal is a skill published in the GitHub repository JeanDiable/academic-research-plugin (21 stars, last pushed 5mo ago), licensed MIT. It adds 158 tokens to every session and 4,607 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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